EXPLORING COGNITIVE HETEROGENEITY: A COMBINATION OF TWO POPULAR DATA-DRIVEN MODELS

Abstract

Considerable cognitive heterogeneity exists within the schizophrenia spectrum disorder (SSD) population. Data-driven methodologies are becoming increasingly popular in the investigative pursuit of characterising the variability of cognitive impairments in SSD. A common data-driven method compares the relationship between estimates of premorbid and current intellectual function to identify IQ trajectory subgroups within SSD samples. An alternative method involves classifying SSD participants based on their current neurocognitive performance. To-date, researchers have used either putative IQ trajectories or current neurocognitive function to identify cognitive subgroups within the SSD populati..